Previously noted important advantages of the semantic DBMS's over any others allow us to state that the semantic databases will soon dominate in gas and oil industry. In this connection question of smooth and painless transfer to new computer technologies gains a particular importance.
Nowadays a majority of software packages employed at the industry enterprises uses the relational DBMS's. They hold immense amount of geological, geophysical and production data that have been accumulated for many years. This data forms basis of many data processing and interpretation systems. So, even despite high-grade data volatility some part of them is sure to be demanded during technologies change.
Therefore, considering the semantic DBMS as a technology of new generation we simply can not pass over a problem of interaction between existing data storage and processing systems and successive ones.

The stated task is solved in the semantic DBMS at the data structure level. High-grade inherent flexibility allows this DBMS to treat the data of virtually any structure as a subset of proprietary data. In practice this means that the semantic database can operate data files of other systems (ORACLE, for example). Those files remain at full disposal of the DBMS they originally belong to. It continues to operate them freely. At the same time the semantic DBMS is also capable to read and correct (if it is permitted) information held in those files. It is important to note that there is not any difference for the semantic DBMS procedures where data are physically allocated. The data storage format can be changed at any moment, the semantic DBMS efficiency by no means being deteriorated.
Computer systems interaction problem can be solved not at such a high-principled level yet. Frequently it is sufficient to implement technologies of export/import data from one DBMS to another. The semantic DBMS use allows us to realize those technologies in simplest and most effective manner. Its much higher flexibility in comparison with other databases makes it possible to organize proprietary data structures in the forms which are logically closest to those of other DBMS's.